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Undergraduate @ Oxford

PhD student @ MIT

Email: xbai AT mit.edu

Xingjian Bai | 白行健


Hello! I am a first-year Ph.D. student at MIT, supervised by Prof. Kaiming He. I received my master's and bachelor's degree in Mathematics and Computer Science from the University of Oxford. My research has focused on the intersection of classic algorithms and deep learning, covering topics such as physics-inspired generative models and learning-augmented algorithms. More broadly, I am driven by research that is scientifically impactful and intellectually stimulating.


During my time at Oxford, I had the privilege of working with Prof. Jan Obloj, Prof. Christian Coester, Prof. Christian Rupprecht, and Luke Melas-Kyriazi. I also spent a rewarding summer at Stanford, collaborating with Prof. Jiajun Wu, Dr. Weiyu Liu, and Joy Hsu. Outside of my academic pursuits, I enjoy jogging and playing tennis. I also engage in algorithmic programming competitions.


Collaborators: I am eager to learn from and collaborate with individuals from diverse backgrounds. If you would like to discuss something, I would be grateful to hear from you. Please feel free to contact me via email or schedule a time to chat through Chatting Time.


News:

Oct 2024: Our paper, Unweighted Layered Graph Traversal, is accepted at SODA'25!

Jun 2024: My dissertation, Efficient and Adaptive Image Generation with Fixed Point Diffusion Models, has won the Oxford Departmental Prize for the best Computer Science project!

Feb 2024: Our paper, Fixed Point Diffusion Models, is accepted at CVPR'24!


PUBLICATIONS



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